Source:- hbr.org Last year, U.S. companies spent roughly $90 billion on learning and development efforts, a sum higher than the gross domestic product of 130 countries. In 2018, the average American employee received training at a cost close to $1,000 per person. On its own that might not sound like much, but to put those numbers into perspective: for Read More
Tag: Development
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Source:- venturebeat.com Deploying AI-imbued apps and services isn’t as challenging as it used to be, thanks to offerings like IBM’s Watson Studio (previously Data Science Experience). Watson Studio, which debuted in 2017 after a 12-month beta period, provides an environment and tools that help to analyze, visualize, cleanse, and shape data; to ingest streaming data; and Read More
Source:- ecns.cn President’s message calls for tackling legal, security, governance challenges President Xi Jinping called on Sunday for strengthened cooperation among countries to explore opportunities of digital, internet-based intelligent development and to properly address legal, security and governance challenges arising from big data industry development. He made the remarks in a congratulatory letter to the China Read More
Source:- uctoday.com Data is everywhere, but are we using It correctly? Big data is an ever-evolving and dynamic term that describes large volumes of data with the potential to deliver useful insights and information. Big data can inform machine learning strategies, form the basis of artificial intelligence applications, and transform business operations. For years, Big Data was defined by Read More
Source:- thedailybeast.com Online data plays an almost inextricable role in American consumers’ lives. Following a host of large-scale data breaches and subsequent questions about corporations’ use of consumer data, Capitol Hill has been abuzz with talk of creating federal data privacy legislation. Amidst calls for federal data privacy protection laws, many industries that handle sensitive consumer Read More
Source:- dataconomy.com Why Understanding the Key Differences Between Data Science and Software Development Matters As Data Science becomes a critical value driver for organizations of all sizes, business leaders who depend on both Data Science and Software Development teams need to know how the two differ and how they should work together. Although there are lots Read More
Source:- kfgo.com ZURICH (Reuters) – As global currency markets grapple with a growing number of flash crashes triggered by shutdowns in algorithmic trading systems when volatility spikes, UBS is utilizing machine learning technology to carry on dealing. While algorithmic trading has played a growing role in the $5.1 trillion-a-day global foreign exchange market, accounting for up Read More
Source:- i-hls.com Big data is now the basis for any activity in the business, government, and security sectors. However, in many cases the information streamed to law enforcement agencies and security organizations is not synchronized with other databases and is not analyzed in an optimized way due to difficulties in coping with the amount of information and Read More
Source – infoq.com We’ve had a few articles over the years on the differences and similarities between SOA and microservices. Some suggest there is much to be learned from SOA whereas others believe that distancing microservices from SOA is more beneficial. Furthermore, Neal Ford amongst others, have suggested that moving from monolithic architectures to a services-based approach may be easier than going to Read More